Xiaomi 2312DRA50G
Geekbench AI Score
56
Single Precision Score
57
Half Precision Score
147
Quantized Score
Geekbench AI 1.1.0 for Android AArch64
Result Information
| Upload Date | October 09 2024 03:00 PM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | TensorFlow Lite |
| Backend | NNAPI |
| Device | ARM ARMv8 |
| System Information | |
|---|---|
| Operating System | Android 14 |
| Model | Xiaomi 2312DRA50G |
| Model ID | Xiaomi 2312DRA50G |
| Motherboard | garnet |
| Governor | walt |
| CPU Information | |
|---|---|
| Name | ARM ARMv8 |
| Topology | 1 Processor, 8 Cores |
| Identifier | ARM implementer 65 architecture 8 variant 1 part 3393 revision 2 |
| Base Frequency | 1.96 GHz |
| Cluster 1 | 4 Cores @ 1.96 GHz |
| Cluster 2 | 4 Cores @ 2.40 GHz |
| Memory Information | |
|---|---|
| Size | 7.13 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
32
6.02 IPS |
|
|
Image Classification (HP)
|
100% |
33
6.07 IPS |
|
|
Image Classification (Q)
|
99% |
99
18.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
43
0.70 IPS |
|
|
Image Segmentation (HP)
|
100% |
43
0.70 IPS |
|
|
Image Segmentation (Q)
|
98% |
90
1.46 IPS |
|
|
Pose Estimation (SP)
|
100% |
49
0.06 IPS |
|
|
Pose Estimation (HP)
|
100% |
50
0.06 IPS |
|
|
Pose Estimation (Q)
|
98% |
270
0.32 IPS |
|
|
Object Detection (SP)
|
100% |
33
2.64 IPS |
|
|
Object Detection (HP)
|
100% |
33
2.65 IPS |
|
|
Object Detection (Q)
|
87% |
110
8.80 IPS |
|
|
Face Detection (SP)
|
100% |
79
0.93 IPS |
|
|
Face Detection (HP)
|
100% |
81
0.96 IPS |
|
|
Face Detection (Q)
|
97% |
207
2.47 IPS |
|
|
Depth Estimation (SP)
|
100% |
71
0.54 IPS |
|
|
Depth Estimation (HP)
|
99% |
72
0.55 IPS |
|
|
Depth Estimation (Q)
|
64% |
185
1.68 IPS |
|
|
Style Transfer (SP)
|
100% |
140
0.18 IPS |
|
|
Style Transfer (HP)
|
100% |
139
0.18 IPS |
|
|
Style Transfer (Q)
|
98% |
389
0.50 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
41
1.52 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41
1.51 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
145
5.38 IPS |
|
|
Text Classification (SP)
|
100% |
52
68.9 IPS |
|
|
Text Classification (HP)
|
100% |
52
69.3 IPS |
|
|
Text Classification (Q)
|
91% |
97
129.7 IPS |
|
|
Machine Translation (SP)
|
100% |
90
1.55 IPS |
|
|
Machine Translation (HP)
|
100% |
102
1.76 IPS |
|
|
Machine Translation (Q)
|
57% |
85
2.08 IPS |
